Towards automatic generation of semantic types in scientific workflows

Shawn Bowers, Bertram Ludäscher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Scientific workflow systems are problem-solving environments that allow scientists to automate and reproduce data management and analysis tasks. Workflow components include actors (e.g., queries, transformations, analyses, simulations, visualizations), and datasets which are produced and consumed by actors. The increasing number of such components creates the problem of discovering suitable components and of composing them to form the desired scientific workflow. In previous work we proposed the use of semantic types (annotations relative to an ontology) to solve these problems. Since creating semantic types can be complex and time-consuming, scalability of the approach becomes an issue. In this paper we propose a framework to automatically derive semantic types from a (possibly small) number of initial types. Our approach propagates the given semantic types through workflow steps whose input and output data structures are related via query expressions. By propagating semantic types, we can significantly reduce the effort required to annotate datasets and components and even derive new "candidate axioms" for inclusion in annotation ontologies.

Original languageEnglish (US)
Title of host publicationWeb Information Systems Engineering, WISE 2005 Workshops - WISE 2005 International Workshops, Proceedings
Pages207-216
Number of pages10
DOIs
StatePublished - Dec 1 2005
Externally publishedYes
EventWISE 2005 International Workshops - Web Information Systems Engineering, WISE 2005 Workshops - New York, NY, United States
Duration: Nov 20 2005Nov 22 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3807 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherWISE 2005 International Workshops - Web Information Systems Engineering, WISE 2005 Workshops
CountryUnited States
CityNew York, NY
Period11/20/0511/22/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Bowers, S., & Ludäscher, B. (2005). Towards automatic generation of semantic types in scientific workflows. In Web Information Systems Engineering, WISE 2005 Workshops - WISE 2005 International Workshops, Proceedings (pp. 207-216). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3807 LNCS). https://doi.org/10.1007/11581116_22